Technical Architect AI & Innovation Lab - Senior Manager / AVP

Sector : Leading Financial Markets Infrastructure Organisation

Location : Mumbai

Experience : 8 - 12 years

Role Overview :

We are seeking a visionary Technical Architect to anchor our Innovation Lab, spearheading next-generation AI and cloud capabilities for India's financial markets. This role demands a proven technology leader with hands-on expertise in distributed systems, cloud architecture, and AI platform engineering within regulated environments.

Key Responsibilities :

- Architect and scale production-grade AI solutions for mission-critical financial systems.

- Lead design and deployment of distributed systems, microservices, event-driven architectures, and APIs.

- Establish and mature Innovation Lab / CoE frameworks within regulated financial institutions.

- Drive adoption of LLM architectures, RAG pipelines, agentic orchestration, model gateways, and guardrails.

- Engineer secure, compliant, and resilient infrastructure across sovereign cloud and on-premise environments.

- Partner with cross-functional stakeholders to deliver innovation aligned with market infrastructure needs.

Non-Negotiable Requirements :

- Education : BE/BTech/MCA in Computer Science, IT, Data Science, or related discipline.

- Experience : 8 - 12 years in software engineering, including :

1. 3+ years architecting and scaling AI solutions as Tech Lead/Architect.

2. 5+ years in distributed systems, microservices, APIs.

3. 3+ years in cloud architecture with Kubernetes & Terraform.

- Proven expertise in AI platform engineering, GPU infrastructure, sovereign cloud/on-premise environments.

- Prior experience setting up Innovation Labs, CoEs, or greenfield tech units in banks, exchanges, clearing houses, depositories, or large NBFCs.

- Strong depth in regulated environment architecture and security.

Tech Stack :

- Languages/Frameworks : Python, FastAPI

- Containers/Orchestration : Docker/Podman, Kubernetes

- IaC : Terraform

- Databases : PostgreSQL/TimescaleDB, Kafka, graph & vector databases